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Nps Feedback Analysis

Analyze Net Promoter Score feedback to identify drivers of satisfaction and detraction

Complexity: Moderate | Duration: 15-30m | Category: Research/Intelligence

Tags: NPS-analysis customer-satisfaction feedback-analysis sentiment-analysis CX-metrics

Workflow Diagram​

Steps​

Step 1: Data collection​

Agent: data

engineering - Collect NPS scores and open-ended feedback from surveys

Step 2: Score calculation​

Agent: data

engineering - Calculate NPS (% promoters - % detractors) overall and by segment

Step 3: Trend analysis​

Agent: data

engineering - Analyze NPS trends over time and by product/feature

Step 4: Text analysis​

Agent: research

agent - Apply NLP to extract themes from open-ended feedback

Step 5: Driver analysis​

Agent: data

engineering - Correlate NPS scores with product usage, features, customer attributes

Step 6: Promoter analysis​

Agent: research

agent - Analyze what promoters love and why they recommend

Step 7: Detractor analysis​

Agent: research

agent - Identify detractor pain points and reasons for low scores

Step 8: Action planning​

Agent: project

manager - Create action plan to address detractor issues and amplify promoter strengths

Step 9: Reporting​

Agent: documentation

writer - Create NPS report with trends, insights, recommendations

Usage​

To execute this workflow:

/workflow research/intelligence/nps-feedback-analysis.workflow

See other workflows in this category for related automation patterns.